Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, College of Environment and Planning, Henan University, Kaifeng 475001, China.
Environ Manage. 2013 Jul;52(1):151-62. doi: 10.1007/s00267-013-0065-1. Epub 2013 May 31.
The estimation of optimum temperature of vegetation growth is very useful for a wide range of applications such as agriculture and climate change studies. Thermal conditions substantially affect vegetation growth. In this study, the normalized difference vegetation index (NDVI) and daily temperature data set from 1982 to 2006 for China were used to examine optimum temperature of vegetation growth. Based on a simple analysis of ecological amplitude and Shelford's law of tolerance, a scientific framework for calculating the optimum temperature was constructed. The optimum temperature range and referenced optimum temperature (ROT) of terrestrial vegetation were obtained and explored over different eco-geographical regions of China. The results showed that the relationship between NDVI and air temperature was significant over almost all of China, indicating that terrestrial vegetation growth was closely related to thermal conditions. ROTs were different in various regions. The lowest ROT, about 7.0 °C, occurred in the Qinghai-Tibet Plateau, while the highest ROT, more than 22.0 °C, occurred in the middle and lower reaches of the Yangtze River and the Southern China region.
估算植被生长的最适温度对于农业和气候变化研究等广泛的应用非常有用。热条件对植被生长有很大的影响。本研究利用归一化差异植被指数（NDVI）和 1982 年至 2006 年中国的日温度数据集，研究了植被生长的最适温度。基于生态幅度的简单分析和谢尔福德耐受性定律，构建了一个计算最适温度的科学框架。获得并探讨了中国不同生态地理区域的陆地植被最适温度范围和参考最适温度（ROT）。结果表明，在中国几乎所有地区，NDVI 与气温之间的关系都非常显著，表明陆地植被的生长与热条件密切相关。不同地区的 ROT 不同。最低 ROT 约为 7.0°C，出现在青藏高原，而最高 ROT 超过 22.0°C，出现在长江中下游和华南地区。
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